Data Scientist

ABOUT LeaseLock:

In a perfect world, every lease would end with zero balance. Properties and tenants could go their separate ways without squabbling over outstanding debts and deposits. Those debts and deposits make up hundreds of millions of dollars each year and most of it is just forfeited— languishing in escrow, sent to collections, or simply written off as bad debt. 

At LeaseLock, we believe in a better way. We’re empowering the built world with better technology and equipping property owners and operators with a new generation of financial tools to reduce risk, recapture revenue, and optimize asset performance. Our financial technology creates more valuable, efficient properties by turning unpredictable loss and damage into dependable operating income, getting each lease closer to zero balance. 

Powered by our data platform and AI risk engine, LeaseLock develops solutions, like our flagship lease insurance, that are driving the future of residential rental real estate. Launched in 2016 and growing rapidly, we’ve insured over $3 billion in leases with clients representing the top property management companies and ownership groups in the country.

ROLE SUMMARY:

LeaseLock trains and runs 1,000s of data science and machine learning models and 10,000s of simulations every day for various business purposes that include, but not limited to, risk controls, financial forecasting/planning, sales & marketing. As a Sr. Data Scientist, you will lead our state-of-the-art data science and machine learning models using your analytical and quantitative skills. The ideal candidate loves leading, learning and solving complex problems using data science and data engineering. Data is the heartbeat of our business: come help unlock our next phase of growth!

 RESPONSIBILITIES:

• Leverage your data science expertise and experience to lead the build, maintain/monitor, and improve our data science models and products
• Deliver data science model outputs in the format that non-data experts can easily consume, such as Looker dashboards and/or analytical reports in PDF/PPT
• Develop and productionize data science models, leveraging technologies such as Airflow, Docker, Databricks and various AWS Cloud solutions
• Be the lead in the Data Science team, contributing new ideas and challenging assumptions in team meetings!

QUALIFICATIONS:

• Data Science Skills—You have deep experience with the design, build, and maintenance of data science models with popular machine learning packages and frameworks (e.g., scikit-learn, XGBoost, pandas, numpy) 
• Software engineering skills— You’re proficient with Python and SQL, writing production-level code , and understanding various coding principles, such as Object-Oriented Programming and Test Driven Development
• Written communication— You’re eager to document and share your work in a distributed environment.
• Leadership skills — You have the ability to act as a thought leader for insights and modeling approaches 

NICE TO HAVE:

• Cloud experience — You know and have experience building solutions on cloud, such as AWS, GCP, Databricks, Snowflake
• Looker experience — You have used Looker or a similar BI tool for data visualization and reporting 

COMMON QUESTIONS

• Will this position have direct reports?
  • No this is an individual contributor position
• Where does this role report?
  • This role reports into our VP of Data.
• Where is this role located?
  • We are a remote first organization, so we are fine with anyone located within the United States working remotely from their current residence.
• Do you accept applicants on a Work Visa?
  • We are happy to accept applicants who currently hold a valid work visa that has at least 3 years of work authorization left.